Instructions to use tannonk/bart_mini-SI_bart5_25-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_bart5_25-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_bart5_25-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_bart5_25-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tannonk/bart_mini-SI_bart5_25-s42: direct link, hf CLI and curl.
- Browser
- Download file 4.11 MB
-
https://huggingface.co/tannonk/bart_mini-SI_bart5_25-s42/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tannonk/bart_mini-SI_bart5_25-s42/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tannonk/bart_mini-SI_bart5_25-s42/resolve/main/pytorch_model.bin
4.11 MB
- Xet hash:
- fb3308d26d558e14f26beaa51db8baa72b3085a98fb8d7a424ca9a1765ed70de
- Size of remote file:
- 4.11 MB
- SHA256:
- c75c14264aa8e9fd33e1aa4f021eb21256e413fc6c809b0216be83a3fd2dc5dc
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